How to Autostart WanVideo_comfy_fp8_scaled Windows 11

If you need a near-instant local setup, just fetch files via a basic curl request.

Follow the step-by-step instructions below.

The loader auto-caches the model archive (several GBs included).

During setup, the script automatically determines and applies the best settings.

📡 Hash Check: fbfe4c6402ec0bdcee96f2c5a5b59098 | 📅 Last Update: 2026-07-07



  • Processor: high single-core performance needed for token latency
  • RAM: 64 GB to avoid OOM crashes on large contexts
  • Disk Space: required: fast PCIe 4.0 drive for instant boots
  • Graphics: TensorRT-LLM / vLLM inference engine compatible chip

The WanVideo_comfy_fp8_scaled model leverages a refined FP8 quantization scheme to deliver high‑fidelity video generation while reducing memory footprint. It supports up to 1920×1080 resolution at 30 fps, enabling smooth playback for a wide range of creative workflows. By integrating a comfy diffusion backbone, the model achieves faster inference times without sacrificing visual coherence. A dedicated scaling layer ensures consistent quality across diverse content types, from cinematic scenes to everyday footage. The accompanying technical table below summarizes key performance metrics and hardware requirements for optimal deployment.

Model WanVideo_comfy_fp8_scaled
Parameters 2.5B
Resolution 1920×1080
Frame Rate 30 fps
Memory Usage 8 GB FP8
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